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Insulin-like factor-2 receptor rs9456497 G genotype overrepresents in males of average population and its correlation
Ling Huang1, Jun-Hua Peng2, Qing-Hua Liang3
1Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China; Guangxi Colleges and Universities Key Laboratory of Human Development and Disease Research, 22 Shuangyong Road, Nanning 530021, Guangxi, China.
Objectives:
To look at the possible effect of IGF2R rs9456497 on cardiovascular risks in a long-lived population.
Methods:
IGF-2R rs9456497 was genotyped by iMLDR for 496 long-lived Zhuang Chinese (90-107 y/o) and their offspring (n = 723, 60-75 y/o) and healthy controls (n = 611, 60-75 y/o). Association analyses were then conducted among genotypes and cardiovascular risks.
Results:
The G genotype (GA/GG) was found to represent more frequently in males of general population. No significantly difference was detected among genotypes in each group except that G genotype tended to reduce the systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels in longevity group. However, after sex stratification, total cholesterol (TC) of each genotype in offspring males was elevated versus relevant genotype in longevity and control group; the triglyceride (TG), fasting plasma glucose (FPG) and BMI of each genotype in longevity group were lower while SBP and DBP were higher than that of the relevant genotype in offspring and controls. After stratified by lipid status, the frequency of G allele was markedly increased in the dyslipidemic subgroup in the combined population and controls. Linear regressive analyses showed that HDL was positively correlated to rs9456497 GA genotype while BMI was negatively correlated to AA genotype in offspring group, whereas TC and TG were reversely while BMI was positively associated with AA genotype in CG.
Conclusions:
IGF-2R rs9456497 G genotype correlates to detrimental cardiovascular risks in ordinary population which might partially interpret their less preservation of health as compared to long-lived cohort.
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